Connectionists: Call for Papers - NeurIPS 2020 Workshop “Learning Meets Combinatorial Optimization” (LMCA)

[Georg Martius]

Dear colleagues,

Please consider submitting to the NeurIPS 2020 Workshop “Learning Meets
Combinatorial Optimization” (LMCA).

The new extended deadline is Oct 16, 2020 (11:59PM UTC).

We are soliciting 4-page extended abstract submissions. Full submission
instructions can be found on the workshop website:
https://sites.google.com/view/lmca2020 along with the list of invited
speakers.

Why this workshop? Machine learning algorithms have been shown to
generalize poorly on combinatorially demanding tasks. Recent research
has demonstrated that merging combinatorial optimization with machine
learning methods enables solving problems that require non-trivial
combinatorial generalization beyond pattern matching. In this spirit,
this workshop aims to bring the communities (machine learning and
combinatorial optimization, operations research) together in order to
motivate further research at the intersection. This involves:

 * Machine learning approaches aimed at improving combinatorial
   algorithms/solvers.

 * Machine learning techniques to directly learn solvers for
   combinatorial problems.

 * Hybrid architectures; pipelines containing both
   algorithmic/combinatorial and standard NN building blocks.

 * Applications of the above.

We are looking forward to some great contributions.

Kind regards from the organization team,
  Marin Vlastelica, Jialin Song, Aaron Ferber, Brandon Amos,
	Georg Martius, Bistra Dilkina, Yisong Yue